To effectively navigate the AI revolution, AI literacy is crucial. However, content predominantly exists in dominant languages, creating a gap for low-resource languages like Yoruba (41 million native speakers). This case study explores bridging this gap by creating and distributing AI videos in Yoruba.The project developed 26 videos covering foundational, intermediate, and advanced AI concepts, leveraging storytelling and accessible explanations. These videos were created using a cost-effective methodology and distributed across YouTube, LinkedIn, and Twitter, reaching an estimated global audience of 22 countries. Analysis of YouTube reveals insights into viewing patterns, with the 25-44 age group contributing the most views. Notably, over half of the traffic originated from external sources, highlighting the potential of cross-platform promotion.This study demonstrates the feasibility and impact of creating AI literacy content in low-resource languages. It emphasizes that accurate interpretation requires both technical expertise in AI and fluency in the target language. This work contributes a replicable methodology, a 22-word Yoruba AI vocabulary, and data-driven insights into audience demographics and acquisition channel

翻译：为有效应对人工智能革命，AI素养至关重要。然而，现有内容主要集中于主流语言，导致约鲁巴语（拥有4100万母语使用者）等低资源语言存在显著差距。本案例研究通过创作并传播约鲁巴语AI视频，探讨如何弥合这一鸿沟。项目共开发26个视频，涵盖基础、中级及高级AI概念，采用叙事手法与通俗易懂的阐释方式。这些视频以高性价比方法论制作，通过YouTube、领英和推特分发，覆盖全球约22个国家受众。对YouTube数据的分析揭示了观看行为模式：25-44岁年龄段贡献最多观看量，值得注意的是，超半数流量来自外部来源，凸显跨平台推广的潜力。本研究证明了为低资源语言创作AI素养内容的可行性与影响力，强调精准诠释需要同时具备AI技术专长与目标语言流利度。该工作贡献了可复制的方法体系、包含22个约鲁巴语AI词汇的术语表，以及关于受众人口统计特征与获客渠道的数据驱动洞察。